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ICTAI
2005
IEEE
14 years 1 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ICIP
2001
IEEE
14 years 9 months ago
Improving motion and orientation estimation using an equilibrated total least squares approach
This paper outlines the ubiquitous presence of generalized orientation (or subspace) estimationproblems in image analysis. We show the potential sources of bias in naive approache...
Matthias Mühlich, Rudolf Mester
CSDA
2007
96views more  CSDA 2007»
13 years 7 months ago
On a quadratic eigenproblem occurring in regularized total least squares
In a recent paper Sima, Van Huffel and Golub [Regularized total least squares based on quadratic eigenvalue problem solvers. BIT Numerical Mathematics 44, 793 - 812 (2004)] sugges...
J. Lampe, H. Voss
CSDA
2006
145views more  CSDA 2006»
13 years 7 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin
ESANN
2006
13 years 9 months ago
EM-algorithm for training of state-space models with application to time series prediction
In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
Elia Liitiäinen, Nima Reyhani, Amaury Lendass...